Ключевые слова: распознавание лиц, алгоритмы, функция извлечения, нейронная сеть, быстрые
надежные функции (БНФ), ориентированная градиентная гистограмма (ОГГ), локальные бинарные
модели (ЛБМ)
OF CHARACTERISTICS IN FACE RECOGNITION
Kenzhegulov А.К.
1
, Serikov B.B.
2
1, 2
Master student of the 2nd course
1, 2
Al-Farabi Kazakh National University, Almaty, Kazakhstan
email:
abzal1818@gmail.com
The facial recognition system is used to provide identification and authentication during functional testing.
It can also be used to identify people in different situations. This article presents a comparative study of the
algorithms used for facial isolation and recognition. Algorithms are general algorithms that match a recognizable
face. The concept of each algorithm is explained and a corresponding description is given. In addition, the results
of the algorithms are evaluated in a data set and are displayed as graphs for evaluating the effectiveness of each
algorithm. Algorithms work with a common data set and display the percentage of functions obtained.
Key words: face recognition, algorithms, feature extraction, neural network, Speeded Up Robust Features
(SURF); Histogram of Oriented Gradients (HOG); Local Binary Patterns (LBP)
Редакцияға 31.01.2019 қабылданды.
Қазақ мемлекеттік қыздар педагогикалық университетінің Хабаршысы № 1 (77), 2019
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